"BOWLBasic"
Results for a single step of the BOWL algorithm for a subset of data with binary treatment options and no subsets for propensity modeling.
Objects can be created by calls of the form new("BOWLBasic", ...)
.
These objects are for convenience in package development
and should not be created by users.
optTx
:Object of class "numeric."
Estimated optimal treatment for training data.
Coded as +1.0/-1.0 independent of
notation provided in original data.
estVal
:Object of class "numeric."
Estimated value of regime for training data.
regime
:Object of class "formula."
Formula description of covariates used in
kernel.
crossValidation
:Object of class "CVInfoOrNULL."
Cross-validation results for training data.
optim
:Object of class "OWLOptim."
Optimization results.
decisionFunc
:Object of class "numeric."
Estimated decision function for origina data.
signature(object = "BOWLBasic")
:
Retrieve cross-validation matrix.
signature(object = "BOWLBasic")
:
Retrieve optimization results.
signature(x = "BOWLBasic", newdata = "missing")
:
Retrieve estimated optimal treatment for training data.
Method is not exported.
signature(x = "BOWLBasic", newdata = "data.frame")
:
Estimate optimal treatment for newdata. Method is not exported.
signature(x = "BOWLBasic")
:
Print key results of method.
signature(object = "BOWLBasic")
:
Retrieve parameter estimates for decision function.
signature(object = "BOWLBasic")
:
Show key results of method.
signature(object = "BOWLBasic")
:
Retrieve key summary information of method.
# NOT RUN {
showClass("BOWLBasic")
# }
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